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Pith Number

pith:IU65SXRA

pith:2017:IU65SXRAJFPJWO33Z74DEO4LFA
not attested not anchored not stored refs pending

TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process

Kunlin Cao, Qi Song, Robert Gillies, Sarfaraz Hussein, Ulas Bagci

arxiv:1703.00645 v1 · 2017-03-02 · cs.CV · stat.ML

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\usepackage{pith}
\pithnumber{IU65SXRAJFPJWO33Z74DEO4LFA}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.
Receipt and verification
First computed 2026-05-18T00:03:00.438165Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

453dd95e20495e9b3b7bcff8323b8b28266068bf617ea236ea7adddc019f6d22

Aliases

arxiv: 1703.00645 · arxiv_version: 1703.00645v1 · doi: 10.48550/arxiv.1703.00645 · pith_short_12: IU65SXRAJFPJ · pith_short_16: IU65SXRAJFPJWO33 · pith_short_8: IU65SXRA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IU65SXRAJFPJWO33Z74DEO4LFA \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 453dd95e20495e9b3b7bcff8323b8b28266068bf617ea236ea7adddc019f6d22
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4d3dee4ba067335580b45e90c4d107b965eccfc91fbb07373131059aa94e3f86",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-03-02T07:26:37Z",
    "title_canon_sha256": "f6f10bdadef046809ff72e2c385d8be00c3eba7244ecd733e70c0a27aec6eec1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1703.00645",
    "kind": "arxiv",
    "version": 1
  }
}